An introduction to data analysis : quantitative, qualitative and mixed methods
Author(s)
Bibliographic Information
An introduction to data analysis : quantitative, qualitative and mixed methods
Sage, 2018
- : pbk
- : hbk
Available at 11 libraries
Note
Includes bibliographical references (p. [243]-262) and index
Description and Table of Contents
Description
Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis.
Using real-world case studies as illustrations, it helps readers understand theories behind and develop techniques for conducting quantitative, qualitative, and mixed methods data analysis. With an easy-to-follow organization and clear, jargon-free language, it helps readers not only become proficient data analysts, but also develop the critical thinking skills necessary to assess analyses presented by others in both academic research and the popular media.
It includes advice on:
- Data analysis frameworks
- Validity and credibility of data
- Sampling techniques
- Data management
- The big data phenomenon
- Data visualisation
- Effective data communication
Whether you are new to data analysis or looking for a quick-reference guide to key principles of the process, this book will help you uncover nuances, complexities, patterns, and relationships among all types of data.
Table of Contents
Chapter 1: Introducing Data
Chapter 2: Thinking like a Data Analyst
Chapter 3: Finding, Collecting, and Organizing Data
Chapter 4: Introducing Quantitative Data Analysis
Chapter 5: Applying Quantitative Data Analysis: Correlations, T-Tests, and Chi-Square Tests
Chapter 6: Introducing Qualitative Data Analysis
Chapter 7: Applying Qualitative Data Analysis
Chapter 8: Introducing Mixed Methods: How to Synthesize Quantitative and Qualitative Data Analysis Techniques
Chapter 9: Communicating Findings and Visualizing Data
Chapter 10: Conclusion: Becoming a Data Analyst
by "Nielsen BookData"